AI agents call suggest_queries to retrieve information from AEO Audit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
count | number | — | |
domain | string | Yes | |
industry | string | — | |
language | string | — |
Parameters from the server's own tool schema.
This tool generates recommendations or suggestions for audit queries. It is a read-only operation that synthesizes information to produce guidance, with no capability to modify data, execute external code, delete resources, or commit financial transactions. The low severity reflects that misuse would result in only informational output, posing no direct harm to systems or data.
From the tool's definition Tool description: 'Generate AEO audit queries for a domain/industry.' The tool generates or suggests queries based on input parameters; it does not retrieve, modify, delete, or execute operations against any system.
Attacks that exploit this kind of access
Generate AEO audit queries for a domain/industry. It is categorised as a Read tool in the AEO Audit MCP Server, which means it retrieves data without modifying state.
suggest_queries accepts 4 parameters: count, domain, industry, language. Required: domain. The full parameter table on this page comes from the server's own tool schema.
Register the AEO Audit MCP server in PolicyLayer and add a rule for suggest_queries: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AEO Audit. Nothing to install.
suggest_queries is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the suggest_queries rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for suggest_queries. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
suggest_queries is provided by the AEO Audit MCP server (https://aeo-mcp-server.amdal-dev.workers.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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